Top Tech Jobs & Startup Jobs in London

Lead business analysis for digital product and technical projects, translating client goals into developer-ready requirements, user stories, acceptance criteria, API contracts, data flows, and technical specifications. Analyze system data, integrations, dependencies, and backend architecture; manage project backlogs; facilitate discovery workshops and estimation; balance business priorities with technical constraints; and bridge technical and non-technical stakeholders. The role also encourages experimentation with AI tools, LLMs, and agentic workflows.

Lead hands-on AWS platform engineering for a client team, designing reliable and scalable infrastructure, federated identity, Terraform modules, and Kubernetes workloads. Assess existing platforms, prioritize delivery, translate requirements into auditable work, and establish foundations for future expansion. The role also involves incident management, on-call processes, stakeholder engagement, team leadership, mentoring, and operating within regulated environments.

Leads complex client software projects through hands-on coding, architecture, solution design, delivery leadership, and project management. Manages and mentors engineers, sets technical standards, oversees planning and risk management, communicates with stakeholders, and drives reliable, scalable outcomes. Builds trusted client relationships, translates business needs into technical plans, contributes to hiring and pre-sales, and supports continuous improvement across consultancy practices.

Leads architecture and delivery of full-stack systems in a consultancy environment. Applies deep engineering judgment across backend, cloud, data, web, mobile, distributed systems, AI-enabled development, security, and infrastructure. Acts as a client-facing technical authority, communicates with senior stakeholders, mentors engineers in AI fluency and quality practices, makes commercially sound decisions, and raises team effectiveness while remaining hands-on.

Lead cloud and application security across regulated client engagements. Responsibilities include AWS and Azure security architecture, Terraform infrastructure controls, threat modeling, penetration testing, secure code and architecture reviews, compliance analysis, AI-powered security tooling, stakeholder communication, governance, and mentoring DevSecOps teams.

Lead a team of 5+ TechOps engineers supporting a regulated, Azure-hosted platform with 24/7 coverage. Own work intake, triage, incident and change processes, operational roadmaps, team enablement, reliability, observability, disaster recovery, automation, and service desk improvements. Serve as a senior technical escalation point while stabilizing and modernizing an inherited estate using Azure, RHEL, Java microservices, infrastructure automation, and AI-assisted tooling.

Coordinates daily office operations, visitor experiences, supplies, deliveries, meeting spaces, events, travel arrangements, onboarding logistics, equipment, correspondence, facilities requests, and vendor relationships. Serves as a contact for office, remote-working, health and safety, and fire safety enquiries while maintaining an organized, welcoming workspace. Supports internal communications, office engagement initiatives, workstation assessments, access passes, and office issue tracking, with occasional support for other offices.

Lead the technical direction of data engineering across client engagements. Design migration frameworks, streaming architectures, Lakehouse platforms, data integrity systems, and regulatory reporting pipelines. Provide architectural authority, review technical designs, select cloud services, mentor senior engineers, develop reusable delivery patterns, support hiring, and represent the consultancy externally. Shape proposals, scope technical engagements, present to senior stakeholders, and identify opportunities with existing clients.

Own production data and feature pipelines supporting machine learning systems, including training data preparation, feature engineering, model deployment, versioning, retraining, monitoring, and CI/CD. Build batch and ELT pipelines using Python, PySpark, and cloud data platforms. Troubleshoot live systems, make architecture decisions, partner with clients and data scientists, and mentor engineers while delivering solutions with substantial autonomy.

Lead hands-on backend engineering using Java, Spring Boot, REST APIs, and Kafka-based services. Own technical direction, delivery, architecture, testing, integrations, and DevOps practices while mentoring engineers and championing AI-assisted development. Manage workstream risks, timelines, bottlenecks, client communication, estimation, and delivery planning in a fast-paced consultancy environment.